At a Glance
- Tasks: Lead a high-performing AI engineering team and deliver innovative AI solutions.
- Company: Dynamic data & AI practice with a focus on growth and innovation.
- Benefits: Competitive salary, bonus, hybrid working, and comprehensive benefits.
- Other info: Client-facing role with opportunities for leadership and professional development.
- Why this job: Shape the future of AI while collaborating with top talent in a vibrant environment.
- Qualifications: Strong AI/ML production experience and solid engineering skills in Python.
The predicted salary is between 130000 - 130000 € per year.
We're working with a growing data & AI practice looking for someone to lead the next phase of their AI engineering capability. This role sits at the intersection of consulting and hands-on engineering — ideal for someone who can move between senior stakeholder conversations and deep technical delivery without losing credibility in either.
What you'd be doing:
- Leading and developing a high-performing AI engineering team
- Setting engineering standards and ensuring quality across multiple client engagements
- Translating complex AI concepts into clear, practical direction for business and technical audiences
- Architecting and delivering production-grade AI solutions (ML + newer generative/agent-based approaches)
- Acting as a trusted advisor in shaping AI roadmaps, solution design, and delivery approaches
What matters for this role:
- Strong experience taking AI/ML solutions into production environments
- Solid engineering foundations (Python and modern data/ML ecosystems)
- Familiarity with cloud-based AI platforms and scalable data systems
- Experience with deployment practices (automation, monitoring, reliability, etc.)
- Ability to operate in ambiguity and guide decision-making with structure and clarity
This is a client-facing leadership role suited to someone who enjoys building teams, shaping solutions, and staying close to emerging AI capabilities. If you're curious, feel free to reach out for a confidential conversation.
Lead Artificial Intelligence Engineer in England employer: MBN Solutions
As a leading player in the data and AI sector, our company offers an exceptional work environment that fosters innovation and collaboration. With hybrid working options available in vibrant cities like Edinburgh, Manchester, and London, employees benefit from a supportive culture that prioritises professional growth and development. Join us to lead a high-performing AI engineering team, where your expertise will shape cutting-edge solutions while enjoying competitive compensation and a rewarding bonus structure.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Artificial Intelligence Engineer in England
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and engineering space. Attend meetups, webinars, or industry events to meet potential employers and get your name out there.
✨Tip Number 2
Showcase your expertise! Create a portfolio that highlights your AI projects and solutions. This will give you an edge when discussing your experience with stakeholders during interviews.
✨Tip Number 3
Prepare for those tricky questions! Brush up on your technical knowledge and be ready to discuss how you've tackled challenges in previous roles. Confidence is key when you're leading conversations.
✨Tip Number 4
Apply through our website! We make it easy for you to find roles that match your skills. Plus, it shows you're serious about joining our team and helps us get to know you better.
We think you need these skills to ace Lead Artificial Intelligence Engineer in England
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Lead Artificial Intelligence Engineer role. Highlight your experience in AI/ML solutions and any leadership roles you've held, as we want to see how you can lead our high-performing team.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Talk about your experience with cloud-based AI platforms and how you've successfully taken AI solutions into production environments.
Showcase Your Technical Skills:Don’t forget to mention your technical expertise, especially in Python and modern data/ML ecosystems. We’re looking for someone who can bridge the gap between technical delivery and stakeholder conversations, so make sure to highlight relevant projects.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates regarding your application status!
How to prepare for a job interview at MBN Solutions
✨Know Your AI Stuff
Make sure you brush up on your AI and ML knowledge before the interview. Be ready to discuss your experience with taking AI solutions into production, as well as your familiarity with Python and cloud-based platforms. This will show that you’re not just a leader but also technically savvy.
✨Showcase Your Leadership Skills
Prepare examples of how you've led high-performing teams in the past. Think about specific challenges you faced and how you motivated your team to overcome them. This is crucial since the role involves building and developing an AI engineering team.
✨Communicate Clearly
Since you'll be translating complex AI concepts for both technical and business audiences, practice explaining your past projects in simple terms. This will demonstrate your ability to bridge the gap between stakeholders and technical teams effectively.
✨Be Ready for Scenario Questions
Expect questions that put you in ambiguous situations where you need to guide decision-making. Prepare to discuss how you would approach these scenarios, showcasing your problem-solving skills and structured thinking.
